
Insider Finance US Stock Monitoring
Pricing
Pay per event

Insider Finance US Stock Monitoring
Simple. Input the ticker of the company and run the actor. It scrapes and processes relevant insider and financial data. Generates a detailed report with insights on company performance, risks, and trends. Easy to use with tons of valuable data. Enjoy and try it out !
5.0 (1)
Pricing
Pay per event
0
Monthly users
3
Last modified
25 days ago
You can access the Insider Finance US Stock Monitoring programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
1# Start Server-Sent Events (SSE) session and keep it running
2curl "https://actors-mcp-server.apify.actor/sse?token=<YOUR_API_TOKEN>&actors=rotas/insider-finance-us-stock-monitoring"
3
4# Session id example output:
5# event: endpoint
6# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1fa
Using Insider Finance US Stock Monitoring via Model Context Protocol (MCP) server
MCP server lets you use Insider Finance US Stock Monitoring within your AI workflows. Send API requests to trigger actions and receive real-time results. Take the received sessionId
and use it to communicate with the MCP server. The message starts the Insider Finance US Stock Monitoring Actor with the provided input.
1curl -X POST "https://actors-mcp-server.apify.actor/message?token=<YOUR_API_TOKEN>&session_id=<SESSION_ID>" -H "Content-Type: application/json" -d '{
2 "jsonrpc": "2.0",
3 "id": 1,
4 "method": "tools/call",
5 "params": {
6 "arguments": {},
7 "name": "rotas/insider-finance-us-stock-monitoring"
8 }
9}'
The response should be: Accepted
. You should received response via SSE (JSON) as:
1event: message
2data: {
3 "result": {
4 "content": [
5 {
6 "type": "text",
7 "text": "ACTOR_RESPONSE"
8 }
9 ]
10 }
11}
Configure local MCP Server via standard input/output for Insider Finance US Stock Monitoring
You can connect to the MCP Server using clients like ClaudeDesktop and LibreChat or build your own. The server can run both locally and remotely, giving you full flexibility. Set up the server in the client configuration as follows:
1{
2 "mcpServers": {
3 "actors-mcp-server": {
4 "command": "npx",
5 "args": [
6 "-y",
7 "@apify/actors-mcp-server",
8 "--actors",
9 "rotas/insider-finance-us-stock-monitoring"
10 ],
11 "env": {
12 "APIFY_TOKEN": "<YOUR_API_TOKEN>"
13 }
14 }
15 }
16}
You can further access the MCP client through the Tester MCP Client, a chat user interface to interact with the server.
To get started, check out the documentation and example clients. If you are interested in learning more about our MCP server, check out our blog post.
Pricing
Pricing model
Pay per eventThis Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Actor start per 1 GB
$0.005
Flat fee for starting an Actor run for each 1 GB of memory.
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Openai LLM report process fee
$0.01
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